Skill Manipulation Method of Industrial Robot Based on Knowledge Graph for Assembly Scene

As the labor cost of manual assembly increases, it is urgent to use industrial robots to carry out assembly tasks. This work presents an industrial robot skill manipulation method based on knowledge graph to realize the intelligent assembly of products. Firstly, the knowledge base based on parameter expression is designed and deployed on the cloud server, so as to facilitate the real-time communication of robots when they perform tasks. In the second stage, the manipulation skills in the assembly scene are expressed in knowledge and stored in the knowledge base, and each action primitive is mapped into the bottom-level code that the robot can execute. Finally, the business system including the execution terminal and turntable is designed, and the memory stick assembly experiment is carried out to verify the effectiveness of this design.